WITH EFFECT FROM THE ACADEMIC YEAR 2013 - 2014
ME 453
ARTIFICIAL INTELLIGENCE & EXPERT SYSTEMS
(ELECTIVE - II)
Instruction 4 Periods per week
Duration of University Examination 3 Hours
University Examination 75 Marks
Sessional 25 Marks
Unit-I
Introduction: Intelligence, definition, types, cognitive aspects approach, measuring intelligence, early efforts. IQ and AI, aspects of intelligence, learning, problem solving, creativity, behaviour and biology.
Unit-II
Cognitive Psychology: The mid, information and cybermatics, components for thought, modes of perception, visual, auditory and other systems, memory mechanisms, problem solving - planning search, the GPS systems, types of learning - route parameters methods and concept, game playing, reasoning.
Unit-III
Knowledge Engineering: Introduction, role of knowledge engineer, knowledge representation, psychology, production rules, logic and programming, common sense and fuzzy logic, semantic networks, learning systems.
Unit-IV
Visual Perception: Introduction, biology of vision, computation aspects, towards artificial vision, picture processing - identifying real objects; vision programmed, factory vision systems. Robotics: AI impact, robot sensors, factory robots, personal robots, future robot.
Unit-V
Expert Systems: Introduction, knowledge acquisition for expert systems; features of expert systems, system structure, inference engines, uncertainties; memory mechanism, range of applications, actual expert systems - VP expert.
Suggested Reading:
- 1.E. Rich, KevinKnight, ArtificialIntelligences, 2nd Edition, TMH.
- 2.Charnaik E. and McDermott D., Introduction to Artificial Intelligence, Addison Wesely, 1995.
- 3.Artificial Intelligence in Business Science and Industry, Vol.2 Applications, PH. 1985.
- 4.PH Winston, ArtificialIntelligence, Addison Wesely.